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Compare gig-platform fees and net earnings

For each platform entry: netEarnings = round(grossEarnings * (1 - feeRatePct/100), 2); feeAmount = round(grossEarnings * feeRatePct/100, 2); winner flag on the highest-net platform.

You receive: A pure function computing each platform's fee amount, net earnings, and a highest-net flag (ties all flagged) from gross earnings and fee rates, graded on hidden cases.

Part of Choose Business Model

What's verified: STUD verifies: fee and net arithmetic, winner flag assignment, platform count, rate bounds. STUD does NOT verify: whether the fee rates are current or accurate for the named platforms, whether the gross earnings are achievable, or which platform is truly best for the freelancer's specific situation.

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Cost20 credits

AcceptanceAutomated check against your inputs

ProtectionHeld until verified delivery

This objective is verified and ready. It opens soon, once sign-in and payments are live.

Deliverable interface

The exact vocabulary the automated check enforces: keys, tokens, entry points, and worked examples. Generated from the verification source.

{
 "constants": {},
 "entryName": "solve",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 13,
 "hiddenCaseNames": [
  "hd_fractional_rate",
  "hd_full_fee",
  "hd_zero_fee_tie",
  "hd_cents_gross",
  "hd_three_way",
  "gen0",
  "gen1",
  "gen2",
  "gen3",
  "gen4",
  "gen5",
  "gen6",
  "gen7"
 ],
 "inputKeys": [
  "feeRatePct",
  "grossEarningsUsd",
  "isHighestNet",
  "netEarningsUsd",
  "platformName",
  "platforms"
 ],
 "normalizeSource": "def _normalize_gig_platform_fee_impact_register(r):\n    if not isinstance(r, dict):\n        return repr(r)\n    try:\n        return {\"platforms\": [{\"platformName\": str(x[\"platformName\"]), \"feeAmountUsd\": round(float(x[\"feeAmountUsd\"]), 2),\n                               \"netEarningsUsd\": round(float(x[\"netEarningsUsd\"]), 2),\n                               \"isHighestNet\": bool(x[\"isHighestNet\"])} for x in r[\"platforms\"]]}\n    except Exception:\n        return repr(r)\n",
 "returnShapes": [
  [
   "platforms"
  ]
 ],
 "signature": "def solve(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "platforms": [
     {
      "feeAmountUsd": 200,
      "isHighestNet": false,
      "netEarningsUsd": 800,
      "platformName": "Upwork"
     },
     {
      "feeAmountUsd": 200,
      "isHighestNet": false,
      "netEarningsUsd": 800,
      "platformName": "Fiverr"
     },
     {
      "feeAmountUsd": 20,
      "isHighestNet": true,
      "netEarningsUsd": 980,
      "platformName": "Decentralized"
     }
    ]
   },
   "input": {
    "platforms": [
     {
      "feeRatePct": 20,
      "grossEarningsUsd": 1000,
      "platformName": "Upwork"
     },
     {
      "feeRatePct": 20,
      "grossEarningsUsd": 1000,
      "platformName": "Fiverr"
     },
     {
      "feeRatePct": 2,
      "grossEarningsUsd": 1000,
      "platformName": "Decentralized"
     }
    ]
   },
   "name": "decentralized_wins"
  },
  {
   "expect": {
    "platforms": [
     {
      "feeAmountUsd": 75,
      "isHighestNet": false,
      "netEarningsUsd": 425,
      "platformName": "A"
     },
     {
      "feeAmountUsd": 0,
      "isHighestNet": true,
      "netEarningsUsd": 500,
      "platformName": "B"
     }
    ]
   },
   "input": {
    "platforms": [
     {
      "feeRatePct": 15,
      "grossEarningsUsd": 500,
      "platformName": "A"
     },
     {
      "feeRatePct": 0,
      "grossEarningsUsd": 500,
      "platformName": "B"
     }
    ]
   },
   "name": "fee_math"
  },
  {
   "expect": {
    "platforms": [
     {
      "feeAmountUsd": 100,
      "isHighestNet": true,
      "netEarningsUsd": 900,
      "platformName": "X"
     },
     {
      "feeAmountUsd": 0,
      "isHighestNet": true,
      "netEarningsUsd": 900,
      "platformName": "Y"
     }
    ]
   },
   "input": {
    "platforms": [
     {
      "feeRatePct": 10,
      "grossEarningsUsd": 1000,
      "platformName": "X"
     },
     {
      "feeRatePct": 0,
      "grossEarningsUsd": 900,
      "platformName": "Y"
     }
    ]
   },
   "name": "tie_both_flagged"
  },
  {
   "expect": {
    "platforms": [
     {
      "feeAmountUsd": 600,
      "isHighestNet": false,
      "netEarningsUsd": 1400,
      "platformName": "Big"
     },
     {
      "feeAmountUsd": 75,
      "isHighestNet": true,
      "netEarningsUsd": 1425,
      "platformName": "Small"
     }
    ]
   },
   "input": {
    "platforms": [
     {
      "feeRatePct": 30,
      "grossEarningsUsd": 2000,
      "platformName": "Big"
     },
     {
      "feeRatePct": 5,
      "grossEarningsUsd": 1500,
      "platformName": "Small"
     }
    ]
   },
   "name": "different_gross"
  }
 ],
 "vocabulary": [
  "feeAmountUsd",
  "feeRatePct",
  "grossEarningsUsd",
  "isHighestNet",
  "netEarningsUsd",
  "platformName",
  "platforms"
 ]
}

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